DocumentCode :
2386492
Title :
Multi-objective model of power terminate plan in multi-zone peak load shifting control
Author :
Li, Yang ; Liu, Jia ; Gao, Liqun ; Kong, Zhi
Author_Institution :
Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
2528
Lastpage :
2533
Abstract :
A novel multi-objective optimal short-term power terminate planning in a multi-zone power system was presented. Both dissatisfaction degree of dwellers and economic loss were considered in this model. At first, the dissatisfaction degree function of residents was constructed; secondly, each single-objective deterministic model was solved so that its objective value was got along with the results of unit commitment and power dispatch, then the power terminate distribution strategy of peak load shifting control was analyzed and the power terminate time of peak load shifting control was selected. Finally, the multi-objective programming problem was reformulated into weighted nonlinear single objective programming problem so as to get the optimal power terminate distribution of each zone. The numerical results demonstrate that the scheme obtained from the multi-objective model can meet functions better than that obtained from the single-objective deterministic model with slight variation in the every single-objective. This method of decision making is significant for sustainable development strategy and the multi-factor justice of power distribution for peak load shifting control planning.
Keywords :
load dispatching; load regulation; nonlinear programming; power distribution control; power distribution planning; multiobjective model; multiobjective optimal short-term power terminate planning; multiobjective programming; multizone peak load shifting control; multizone power system; nonlinear single objective programming; optimal power terminate distribution; power dispatch; power distribution; power terminate distribution strategy; single-objective deterministic model; sustainable development strategy; Distribution strategy; Electricity supply industry; Hospitals; Industrial control; Power engineering and energy; Power generation economics; Power system modeling; Power system planning; Safety; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586871
Filename :
4586871
Link To Document :
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